Handbook of Cognitive Science: An Embodied ApproachThe Handbook of Cognitive Science provides an overview of recent developments in cognition research, relying upon non-classical approaches. Cognition is explained as the continuous interplay between brain, body, and environment, without relying on classical notions of computations and representation to explain cognition. The handbook serves as a valuable companion for readers interested in foundational aspects of cognitive science, and neuroscience and the philosophy of mind. The handbook begins with an introduction to embodied cognitive science, and then breaks up the chapters into separate sections on conceptual issues, formal approaches, embodiment in perception and action, embodiment from an artificial perspective, embodied meaning, and emotion and consciousness. Contributors to the book represent research overviews from around the globe including the US, UK, Spain, Germany, Switzerland, France, Sweden, and the Netherlands. |
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知覚研究のハンドブック 感覚研究はもとより進化から人類学や文化研究、生態心理学など最新のトピックまで幅広く扱ってます。
Contents
SECTION I | 27 |
Interactive Representation | 35 |
3 | 41 |
Ada Adder and Odder | 47 |
Quantifying Embodiment | 54 |
Three Examples of Swarms | 60 |
Is a Living Swarm an Embodied Entity? | 68 |
Conclusion | 75 |
Interactions Between Multiple Activation Peaks | 252 |
Preshape in Dynamic Neural Fields | 256 |
Embodying Dynamic Neural Fields on Autonomous Robots | 264 |
14 | 273 |
Ignorantly Successful in a UserFriendly Environment | 280 |
Conclusion | 287 |
15 | 293 |
Conclusions | 306 |
5 | 81 |
Path Planning | 90 |
Conclusion | 96 |
Theoretical Accomplishments | 108 |
Outstanding Challenges | 114 |
7 | 121 |
Body Dynamics and Morphology | 127 |
The Interaction of Physical and Information | 133 |
8 | 139 |
The Advantages of Embodied Cognition | 156 |
OrganismEnvironment Systems are | 164 |
Behavior Is Emergent and SelfOrganized | 170 |
Information Is Specificational | 176 |
Conclusion | 182 |
10 | 189 |
TradeOffs Between Gaze and Working Memory Use | 200 |
Detecting Attributes | 209 |
Conscious Perception | 215 |
12 | 221 |
Calculating the fMRI Signal for an Example Set Shifting Model | 227 |
Summary and Back to color phi | 235 |
13 | 241 |
Evidence for Embodied Concepts | 315 |
Learning and Using Abstract and Technical Words and Concepts | 323 |
17 | 333 |
The Embodiment of Axioms Sets | 339 |
Conclusion | 350 |
Embodied Mathematics | 356 |
PM and IM and Vocabulary Acquisition | 365 |
19 | 375 |
Keys to OffLine Embodiment? | 381 |
Future Directions | 387 |
20 | 395 |
The Phenomenon of Control | 401 |
Integration Is Key | 415 |
21 | 423 |
Implications of MRH for XGrounded Cognition | 430 |
SECTION VII | 437 |
Implicit Simulation or Embodied Practices | 446 |
On the Distinction Between Behavior and Movement | 455 |
Dynamic Congruency | 461 |
467 | |
Common terms and phrases
abstract action activation agent animal approach Artificial Intelligence axioms Aymara Ballard Barsalou behavior Bickhard biological bodily body brain CajunBot Cambridge cognitive neuroscience Cognitive Science cognitivism cognitivist color complex computational concepts conceptual metaphor connectionism context cortex defined domains dynamical systems ecological Ecological Psychology embodied cognition embodied cognitive science environment evolution evolutionary evolved example experience eye movements feature field Figure find finding finger first fixation fixed fMRI function Gallese Glenberg human influence input interaction Journal of Experimental Lakoff language learning LIDAR manipulation mathematics mechanisms memory mental metaphor mind mirror neurons modality motion natural networks neural neurons object observed organism peak perceived perception performance physical post-cognitivist preshape problem processes reflect relevant representation response robot saccade Schöner semantic sensorimotor sensory significant simulation spatial specific stimulus strategy structure sufficient swarm swarm intelligence swarm robotics symbols target task theory tion Turvey understanding University Press visual